Michael Aronowitz, SVP of Revenue Growth at VXI Global Solutions, brings two decades of BPO experience to a frank conversation about hiring emotionally intelligent agents, building high-energy floor cultures, and where AI genuinely helps — and where it still falls short.
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Key takeaways
- Contact center agents convert at 30–40% versus low single-digit rates for pure online channels, and can triple average order values through upsells.
- Hiring for emotional intelligence, empathy, and rejection tolerance beats hiring for prior call-center experience — outside sales and door-to-door backgrounds often produce top performers.
- Floor culture — gamification, visible leaderboards, music, contests — is performance infrastructure, not a perk.
- Leadership should coach agents toward a clear promotion path; fear-based management degrades performance and retention.
- 100% call ingestion via AI analytics replaces random sampling and enables same-day coaching rather than sessions days after the fact.
- AI training simulators compress the learning curve by letting agents run hundreds of role-play scenarios in hours instead of weeks.
- AI voice agents still face unresolved legal risk and technical limitations (background noise confusion) that make them premature replacements for human reps in high-value, regulated verticals.
Why Contact Centers Still Beat Every Other Sales Channel
Online conversion rates have been largely stagnant for 20 years, hovering in single digits for most categories. Contact center agents, by contrast, routinely hit 30–40% conversion — and skilled reps push average order values from $800 to $1,600 through upsells that a shopping cart simply cannot replicate. For high-consideration purchases like mortgages, solar installs, or home-equity loans, the deciding factor almost always comes down to trust and human connection, not price alone.
Building a Contact Center That People Actually Want to Work In
Michael Aronowitz argues that people are the single most important input when standing up or scaling a contact center. His framework covers three pillars:
- Right profile, right role. Inbound sales, outbound dialing, customer service, and retention each demand a different personality. Use AI-assisted interview tools to match candidates to roles before day one — not after the first bad month.
- Environment and energy. Music on the floor, gamification, real-time leaderboards, attainable daily contests, and a visible wall of fame aren’t perks — they’re performance infrastructure. Agents who feel the energy sell more.
- Reachable KPIs and transparent comp. Changing comp plans without notice or setting unachievable targets destroys morale faster than anything else. Clear metrics, communicated upfront, drive accountability without fear.
Hiring Philosophy: Soft Skills Over Call-Center Résumés
Both Aronowitz and Squeeze co-founder Carson Poppenger independently arrived at the same counterintuitive hiring truth: experienced call-center agents often carry bad habits and inflated expectations. Some of VXI’s top performers came from outdoor door-knocking, car washes, and landscaping — jobs that built rejection tolerance and hunger. Squeeze skews toward college-town, referral-based hiring where emotional intelligence and coachability outweigh prior industry experience.
Leadership That Coaches, Not Commands
Promoting a top agent into management without developing their coaching ability is one of the most common and costly mistakes in the industry. Great leaders create upward mobility paths — team lead to ops leader to director — and mentor agents toward those milestones. Threatening underperformers rarely works; identifying why a qualified lead went unclosed through call analytics does.
AI: Where It Helps and Where It Hurts
Aronowitz is bullish on AI — selectively. The technologies he sees delivering real ROI right now:
- Interaction analytics at 100% call ingestion. Moving from two randomly sampled calls per agent per week to full ingestion surfaces coaching insights in near real-time and removes the “I got bad leads” narrative entirely.
- AI training simulators. Instead of one observed role-play per training day, agents can run hundreds of varied simulated calls in a single session, compressing the 500-call learning curve into weeks.
- Co-pilot tools that assist live agents with next-best-action prompts and script adherence.
AI voice agents, however, remain a significant risk for regulated verticals like financial services. Background noise causes confusion and looping responses, legal liability around robocall rules is unresolved, and — critically — a human agent still outconverts a bot on a $30–$60 inbound transfer, making the ROI case for replacing reps premature in most scenarios.
Nobody grows up and says, I'm going to be in the contact center world.
— Michael Aronowitz
People like to buy from people they like and trust.
— Michael Aronowitz
You give that person a cube, a headset, and an opportunity, they knocked it out of the park.
— Michael Aronowitz
It's a great time to be in this business — especially with technology and AI and where it's going.
— Michael Aronowitz
Episode chapters
- 00:10 — Introductions and Michael's background
- 01:23 — From Monster.com and eBay to discovering contact centers
- 03:24 — Why contact centers outperform email and direct mail
- 05:57 — Trust and human connection in high-stakes purchases
- 09:59 — Building high-performing teams: hiring, culture, and leadership
- 13:00 — Creating an environment agents want to show up to
- 19:24 — Coaching culture and the agent career trajectory
- 25:50 — Headwinds: AI hype vs. contact center reality
- 31:06 — AI tools that are actually working: analytics and simulators
- 34:50 — Where to find Michael Aronowitz and closing thoughts
Frequently asked questions
Are AI voice agents ready to replace human agents in contact centers?
Not yet for high-value or regulated verticals. AI voice struggles with background noise, often loops rebuttals unnaturally, and faces unresolved legal exposure around robocall regulations. Human agents currently outconvert bots on inbound transfers in financial services and similar categories.
What AI tools are actually delivering ROI in contact centers today?
Interaction analytics at 100% call ingestion, AI-powered training simulators, and agent co-pilot tools are the clearest wins. They improve coaching speed, compress ramp time, and surface performance gaps that random call sampling misses.
What makes a great contact center agent?
Emotional intelligence, empathy, and the ability to handle consistent rejection — not prior call-center experience. Candidates from door-to-door or outdoor sales backgrounds often outperform experienced call-center hires who bring bad habits.
Why do contact centers outperform email and direct mail for sales?
Contact centers offer far more controllable variables — dialing cadence, agent scripting, live objection handling — and conversion rates that are 5–10x higher than digital channels for complex or high-consideration purchases.
What is VXI Global Solutions?
VXI Global Solutions is a BPO (business process outsourcing) company operating approximately 45,000 agents across nine countries, specializing in contact center services including customer care and sales.
How should contact centers approach agent coaching?
Effective coaching uses full call ingestion data to identify specific missed opportunities in near real-time, rather than relying on randomly selected calls reviewed days later. AI analytics tools make this level of objective, timely feedback scalable.